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What is Natural Language Processing?

Natural language processing(NLP)is a area of application in the computer science and engineering field and linguistics related with the interactions between computers and human (natural) languages; it began like a field of artificial intelligence. In deep studies, natural language processing is a very fascinating way of human–computer interaction. Natural language understanding is few times referenced like to be an AI-complete problem because it seems to demand expanded information regarding the concerned real world and the capability to resolve it.

Whether NLP is different from, or homogenous to, the area of computational linguistics is a matter of perspective. TheAssociation for Computational Linguisticsexplains the latter as giving attention on the theoretical aspects of NLP. If we see other side, the open-access chronology "Computational Linguistics", styles itself as "the longest running publication dedicated especially to the design and analysis of naturallanguage processingsystems"(Computational Linguistics (chronology))

Modern NLP algorithmsand procedures are grounded in learning system, especially statistical machine learning. Research into modern statistical NLP algorithms requires an understanding of a number of variety of fields, including linguistics, computer science & engineering, and statistics.

Levels of Natural Language Processing:

1) Phonology

This level deals with the interpretation of speech sounds within and across words. There are, in fact, three types of rules used in phonological analysis

2) Morphology

This level deals with the componential nature of words, which are composed of morphemes – the smallest units of meaning

3) Lexical

At this level, humans, as well as NLP systems, interpret the meaning of individual words.

Several types of processing contribute to word-level understanding – the first of these being assignment of a single part-of-speech tag to each word

4) Syntactic

This level focuses on analyzing the words in a sentence so as to uncover the grammatical. Structure of the sentence. This requires both a grammar and a parser.

5) Semantic

This is the level at which most people think meaning is determined, however, as we can see in the above defining of the levels, it is all the levels that contribute to meaning.

6) Discourse

While syntax and semantics work with sentence-length units, the discourse level of NLP works with units of text longer than a sentence.

7) Pragmatic

This level is concerned with the purposeful use of language in situations and utilizes

Context over and above the contents of the text for understanding The goal is to explain

how extra meaning is read into texts without actually being encoded in them

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